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Dr Xiandong Ma

Senior Lecturer

  1. Journal article
  2. Published

    Prediction of Wave Power Generation Using a Convolutional Neural Network with Multiple Inputs

    Ni, C. & Ma, X., 13/08/2018, In: Energies. 11, 8, 18 p., 2097.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Published

    Reducing neutral-point voltage fluctuation in NPC three-level active power filters

    Qian, P., Ma, X., Liu, G. & Chen, Z., 06/2018, In: Electrical Engineering. 100, 2, p. 721-732 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Published

    A Review of Forecasting Algorithms and Energy Management Strategies for Microgrids

    Ma, J. & Ma, X., 06/2018, In: Systems Science and Control Engineering. 6, 1, p. 237-248 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Published

    Estimating Health Condition of the Wind Turbine Drivetrain System

    Qian, P., Ma, X. & Zhang, D., 12/10/2017, In: Energies. 2017, 10, 19 p., 1583.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. Published

    Design, Optimization and Numerical Modelling of A Novel Floating Pendulum Wave Energy Converter with Tide Adaptation

    Yang, J., Zhang, D., Chen, Y., Liang, H., Tan, M., Li, W. & Ma, X., 10/2017, In: China Ocean Engineering. 31, 5, p. 578–588 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. Published

    An integrated data-driven model-based approach to condition monitoring of the wind turbine gearbox

    Qian, P., Ma, X. & Cross, P., 12/07/2017, In: IET Renewable Power Generation. 11, 9, p. 1177-1185 9 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Published

    Effect of doubly fed induction generatortidal current turbines on stability of a distribution grid under unbalanced voltage conditions

    Zhang, D., Ma, X., Si, Y., Huang, C., Huang, B. & Li, W., 13/02/2017, In: Energies. 10, 2, 14 p., 212.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Published

    A condition monitoring system for an early warning of developing faults in wind turbine electrical systems

    Ma, X., Cross, P. & Qian, P., 1/12/2016, In: Insight – Non-Destructive Testing and Condition Monitoring. 58, 12, p. 663-670 8 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. Published

    Reducing sensor complexity for monitoring wind turbine performance using principal component analysis

    Wang, Y., Ma, X. & Joyce, M. J., 11/2016, In: Renewable Energy. 97, p. 444–456 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. Published

    Simultaneous fault detection and sensor selection for condition monitoring of wind turbines

    Zhang, W. & Ma, X., 12/04/2016, In: Energies. 9, 4, 15 p., 280.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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